What is Bigquery? Partitioning, Clustering, BigQuery ML

BigQuery is a fully managed, petabyte-scale analytics data warehouse that enables businesses to analyze all their data very quickly. It is a serverless platform, which means that you don't have to worry about managing the underlying infrastructure. BigQuery also supports a wide range of data types, including structured, semi-structured, and unstructured data.

Here are some of the benefits of using BigQuery:

Scalability: BigQuery can handle petabytes of data, so you can analyze all your data without having to worry about performance or storage limitations.
Speed: BigQuery can query terabytes of data in seconds and petabytes of data in minutes. This makes it ideal for real-time analytics and ad hoc queries.
Cost-effectiveness: BigQuery is very cost-effective, especially for large datasets. You only pay for the data that you store and the queries that you run.
Ease of use: BigQuery is easy to use, even for non-technical users. You can use the BigQuery web UI or the BigQuery API to run queries and analyze your data.

Some of the use cases for BigQuery include:

Business intelligence: BigQuery can be used to create dashboards and reports to help you track your business metrics.
Data warehousing: BigQuery can be used to store and analyze historical data.
Machine learning: BigQuery can be used to train machine learning models.
Data mining: BigQuery can be used to find patterns in your data.